class_docstr: PostProcessor for CTC.
code: def __call__(
      self,
      outputs: torch.Tensor,
      data_samples: Sequence[TextRecogDataSample],
  ) -> Sequence[TextRecogDataSample]:
      outputs = outputs.cpu().detach()
      return super().__call__(outputs, data_samples)
  
file_path: mmocr/mmocr/models/textrecog/postprocessors/ctc_postprocessor.py
imports: import math
  from typing import Sequence, Tuple
  import torch
  from mmocr.registry import MODELS
  from mmocr.structures import TextRecogDataSample
  from .base import BaseTextRecogPostprocessor
label_desc: Use image node_id 2 for calling the CTCPostProcessor obj's underlying member method code with example usage: obj.__call__(outputs, data_samples) and returns: super